Overview

Dataset statistics

Number of variables25
Number of observations56000
Missing cells287731
Missing cells (%)20.6%
Duplicate rows121
Duplicate rows (%)0.2%
Total size in memory10.7 MiB
Average record size in memory200.0 B

Variable types

Numeric24
Categorical1

Alerts

Dataset has 121 (0.2%) duplicate rowsDuplicates
form_field25 is highly correlated with form_field26 and 2 other fieldsHigh correlation
form_field26 is highly correlated with form_field25 and 2 other fieldsHigh correlation
form_field27 is highly correlated with form_field25 and 2 other fieldsHigh correlation
form_field28 is highly correlated with form_field42High correlation
form_field29 is highly correlated with form_field25 and 3 other fieldsHigh correlation
form_field31 is highly correlated with form_field29High correlation
form_field32 is highly correlated with form_field37High correlation
form_field34 is highly correlated with form_field39High correlation
form_field36 is highly correlated with form_field38 and 1 other fieldsHigh correlation
form_field37 is highly correlated with form_field32High correlation
form_field38 is highly correlated with form_field36 and 1 other fieldsHigh correlation
form_field39 is highly correlated with form_field34High correlation
form_field42 is highly correlated with form_field28High correlation
form_field43 is highly correlated with form_field36 and 1 other fieldsHigh correlation
form_field48 is highly correlated with form_field26 and 4 other fieldsHigh correlation
form_field25 has 5450 (9.7%) missing values Missing
form_field26 has 7438 (13.3%) missing values Missing
form_field27 has 9299 (16.6%) missing values Missing
form_field30 has 25509 (45.6%) missing values Missing
form_field31 has 39408 (70.4%) missing values Missing
form_field32 has 5450 (9.7%) missing values Missing
form_field33 has 1256 (2.2%) missing values Missing
form_field35 has 23148 (41.3%) missing values Missing
form_field36 has 1995 (3.6%) missing values Missing
form_field37 has 5450 (9.7%) missing values Missing
form_field39 has 4211 (7.5%) missing values Missing
form_field40 has 43729 (78.1%) missing values Missing
form_field41 has 38229 (68.3%) missing values Missing
form_field42 has 1323 (2.4%) missing values Missing
form_field43 has 568 (1.0%) missing values Missing
form_field44 has 5383 (9.6%) missing values Missing
form_field45 has 31317 (55.9%) missing values Missing
form_field46 has 15904 (28.4%) missing values Missing
form_field48 has 20889 (37.3%) missing values Missing
form_field28 has 11546 (20.6%) zeros Zeros
form_field34 has 46890 (83.7%) zeros Zeros
form_field35 has 28090 (50.2%) zeros Zeros
form_field37 has 11410 (20.4%) zeros Zeros
form_field38 has 4864 (8.7%) zeros Zeros
form_field39 has 48194 (86.1%) zeros Zeros
form_field42 has 16961 (30.3%) zeros Zeros
form_field43 has 6942 (12.4%) zeros Zeros
form_field45 has 23075 (41.2%) zeros Zeros
form_field46 has 36730 (65.6%) zeros Zeros
form_field48 has 1416 (2.5%) zeros Zeros
form_field49 has 29853 (53.3%) zeros Zeros

Reproduction

Analysis started2022-10-20 13:58:11.448358
Analysis finished2022-10-20 14:04:45.757638
Duration6 minutes and 34.31 seconds
Software versionpandas-profiling v3.3.0
Download configurationconfig.json

Variables

form_field25
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct5014
Distinct (%)9.9%
Missing5450
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean2624.555935
Minimum0
Maximum25093.5
Zeros42
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:04:47.807417image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile349.5
Q11231.5
median2203.5
Q33517.5
95-th percentile6300.825
Maximum25093.5
Range25093.5
Interquartile range (IQR)2286

Descriptive statistics

Standard deviation1964.226548
Coefficient of variation (CV)0.748403386
Kurtosis5.663181989
Mean2624.555935
Median Absolute Deviation (MAD)1099.5
Skewness1.711413073
Sum132671302.5
Variance3858185.933
MonotonicityNot monotonic
2022-10-20T15:04:48.105073image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
274.5275
 
0.5%
228265
 
0.5%
411261
 
0.5%
364.5250
 
0.4%
183247
 
0.4%
456246
 
0.4%
592.5242
 
0.4%
502.5235
 
0.4%
136.5230
 
0.4%
91.5227
 
0.4%
Other values (5004)48072
85.8%
(Missing)5450
 
9.7%
ValueCountFrequency (%)
042
 
0.1%
22.59
 
< 0.1%
34.51
 
< 0.1%
45189
0.3%
61.54
 
< 0.1%
64.51
 
< 0.1%
6918
 
< 0.1%
76.55
 
< 0.1%
79.51
 
< 0.1%
91.5227
0.4%
ValueCountFrequency (%)
25093.51
< 0.1%
241351
< 0.1%
232921
< 0.1%
229501
< 0.1%
22174.51
< 0.1%
20257.51
< 0.1%
191851
< 0.1%
188431
< 0.1%
18706.51
< 0.1%
184321
< 0.1%

form_field26
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct594
Distinct (%)1.2%
Missing7438
Missing (%)13.3%
Infinite0
Infinite (%)0.0%
Mean10106.5549
Minimum0
Maximum73275
Zeros59
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:04:48.420072image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile639
Q13375
median8214
Q314145
95-th percentile28014
Maximum73275
Range73275
Interquartile range (IQR)10770

Descriptive statistics

Standard deviation8796.472481
Coefficient of variation (CV)0.8703729974
Kurtosis2.69195808
Mean10106.5549
Median Absolute Deviation (MAD)5112
Skewness1.471488688
Sum490794519
Variance77377928.11
MonotonicityNot monotonic
2022-10-20T15:04:48.723077image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
549387
 
0.7%
639383
 
0.7%
456370
 
0.7%
366369
 
0.7%
1005367
 
0.7%
1095366
 
0.7%
912361
 
0.6%
1461358
 
0.6%
729357
 
0.6%
183357
 
0.6%
Other values (584)44887
80.2%
(Missing)7438
 
13.3%
ValueCountFrequency (%)
059
 
0.1%
90282
0.5%
183357
0.6%
273348
0.6%
366369
0.7%
456370
0.7%
549387
0.7%
639383
0.7%
729357
0.6%
822352
0.6%
ValueCountFrequency (%)
732751
< 0.1%
657901
< 0.1%
637831
< 0.1%
610472
< 0.1%
609541
< 0.1%
606811
< 0.1%
587641
< 0.1%
582181
< 0.1%
579452
< 0.1%
573061
< 0.1%

form_field27
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct558
Distinct (%)1.2%
Missing9299
Missing (%)16.6%
Infinite0
Infinite (%)0.0%
Mean6190.516948
Minimum0
Maximum42522
Zeros57
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:04:49.050080image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile366
Q12068
median5110
Q38700
95-th percentile17034
Maximum42522
Range42522
Interquartile range (IQR)6632

Descriptive statistics

Standard deviation5390.915344
Coefficient of variation (CV)0.8708344374
Kurtosis2.715219375
Mean6190.516948
Median Absolute Deviation (MAD)3224
Skewness1.452972936
Sum289103332
Variance29061968.25
MonotonicityNot monotonic
2022-10-20T15:04:49.351078image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
426429
 
0.8%
366427
 
0.8%
304407
 
0.7%
244400
 
0.7%
670395
 
0.7%
182395
 
0.7%
730390
 
0.7%
122387
 
0.7%
486387
 
0.7%
912384
 
0.7%
Other values (548)42700
76.2%
(Missing)9299
 
16.6%
ValueCountFrequency (%)
057
 
0.1%
60302
0.5%
122387
0.7%
182395
0.7%
244400
0.7%
304407
0.7%
366427
0.8%
426429
0.8%
486387
0.7%
548368
0.7%
ValueCountFrequency (%)
425221
< 0.1%
406981
< 0.1%
388121
< 0.1%
386302
< 0.1%
380821
< 0.1%
371701
< 0.1%
369861
< 0.1%
369261
< 0.1%
368041
< 0.1%
367441
< 0.1%

form_field28
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct95
Distinct (%)0.2%
Missing355
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean17274.31514
Minimum0
Maximum60772
Zeros11546
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:04:49.672073image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q160
median486
Q360772
95-th percentile60772
Maximum60772
Range60772
Interquartile range (IQR)60712

Descriptive statistics

Standard deviation26930.74202
Coefficient of variation (CV)1.559004904
Kurtosis-1.007478124
Mean17274.31514
Median Absolute Deviation (MAD)486
Skewness0.993735487
Sum961229266
Variance725264865.7
MonotonicityNot monotonic
2022-10-20T15:04:50.143922image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6077215407
27.5%
011546
20.6%
608973
16.0%
1222356
 
4.2%
1821430
 
2.6%
2441033
 
1.8%
304914
 
1.6%
366788
 
1.4%
426720
 
1.3%
486641
 
1.1%
Other values (85)11837
21.1%
ValueCountFrequency (%)
011546
20.6%
608973
16.0%
1222356
 
4.2%
1821430
 
2.6%
2441033
 
1.8%
304914
 
1.6%
366788
 
1.4%
426720
 
1.3%
486641
 
1.1%
548597
 
1.1%
ValueCountFrequency (%)
6077215407
27.5%
70561
 
< 0.1%
68742
 
< 0.1%
65101
 
< 0.1%
60842
 
< 0.1%
60221
 
< 0.1%
58401
 
< 0.1%
57801
 
< 0.1%
55961
 
< 0.1%
55361
 
< 0.1%

form_field29
Real number (ℝ≥0)

HIGH CORRELATION

Distinct654
Distinct (%)1.2%
Missing355
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean16518.5407
Minimum0
Maximum73914
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:04:50.844968image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3102
Q19765
median15057
Q321810
95-th percentile34674
Maximum73914
Range73914
Interquartile range (IQR)12045

Descriptive statistics

Standard deviation9666.183962
Coefficient of variation (CV)0.5851717861
Kurtosis1.193728581
Mean16518.5407
Median Absolute Deviation (MAD)5931
Skewness0.9333815308
Sum919174197
Variance93435112.39
MonotonicityNot monotonic
2022-10-20T15:04:51.185973image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11133277
 
0.5%
12135273
 
0.5%
11772269
 
0.5%
12045268
 
0.5%
11862268
 
0.5%
11223265
 
0.5%
14874264
 
0.5%
12318263
 
0.5%
11499263
 
0.5%
11040263
 
0.5%
Other values (644)52972
94.6%
(Missing)355
 
0.6%
ValueCountFrequency (%)
03
 
< 0.1%
9030
 
0.1%
18359
0.1%
27374
0.1%
36683
0.1%
45676
0.1%
54980
0.1%
63970
0.1%
72983
0.1%
82280
0.1%
ValueCountFrequency (%)
739141
< 0.1%
732751
< 0.1%
701701
< 0.1%
657901
< 0.1%
654271
< 0.1%
645151
< 0.1%
637831
< 0.1%
635101
< 0.1%
620491
< 0.1%
615931
< 0.1%

form_field30
Real number (ℝ≥0)

MISSING

Distinct274
Distinct (%)0.9%
Missing25509
Missing (%)45.6%
Infinite0
Infinite (%)0.0%
Mean5213.246663
Minimum0
Maximum25550
Zeros10
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:04:51.605743image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile426
Q12312
median5658
Q37726
95-th percentile9794
Maximum25550
Range25550
Interquartile range (IQR)5414

Descriptive statistics

Standard deviation3124.491488
Coefficient of variation (CV)0.5993369756
Kurtosis-0.8463082268
Mean5213.246663
Median Absolute Deviation (MAD)2556
Skewness0.03838729922
Sum158957104
Variance9762447.058
MonotonicityNot monotonic
2022-10-20T15:04:51.919751image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7422316
 
0.6%
7604291
 
0.5%
7544287
 
0.5%
7482267
 
0.5%
7726265
 
0.5%
7360262
 
0.5%
8030261
 
0.5%
366252
 
0.4%
7908250
 
0.4%
790247
 
0.4%
Other values (264)27793
49.6%
(Missing)25509
45.6%
ValueCountFrequency (%)
010
 
< 0.1%
60163
0.3%
122220
0.4%
182246
0.4%
244233
0.4%
304230
0.4%
366252
0.4%
426234
0.4%
486229
0.4%
548240
0.4%
ValueCountFrequency (%)
255501
< 0.1%
191021
< 0.1%
183101
< 0.1%
182501
< 0.1%
178241
< 0.1%
177021
< 0.1%
174602
< 0.1%
170941
< 0.1%
170341
< 0.1%
167301
< 0.1%

form_field31
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct394
Distinct (%)2.4%
Missing39408
Missing (%)70.4%
Infinite0
Infinite (%)0.0%
Mean10857.56575
Minimum0
Maximum47085
Zeros14
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:04:52.467543image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2100
Q16297
median10584
Q314235
95-th percentile21900
Maximum47085
Range47085
Interquartile range (IQR)7938

Descriptive statistics

Standard deviation6049.678489
Coefficient of variation (CV)0.5571855263
Kurtosis0.9170532683
Mean10857.56575
Median Absolute Deviation (MAD)4017
Skewness0.7382103891
Sum180148731
Variance36598609.83
MonotonicityNot monotonic
2022-10-20T15:04:52.771538image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6297137
 
0.2%
6204134
 
0.2%
11316128
 
0.2%
12045126
 
0.2%
11499125
 
0.2%
11589120
 
0.2%
11223120
 
0.2%
11133117
 
0.2%
11955116
 
0.2%
11040115
 
0.2%
Other values (384)15354
 
27.4%
(Missing)39408
70.4%
ValueCountFrequency (%)
014
 
< 0.1%
9015
< 0.1%
18321
< 0.1%
27328
0.1%
36624
< 0.1%
45633
0.1%
54933
0.1%
63928
0.1%
72936
0.1%
82230
0.1%
ValueCountFrequency (%)
470851
< 0.1%
440731
< 0.1%
436171
< 0.1%
420661
< 0.1%
398761
< 0.1%
390541
< 0.1%
385982
< 0.1%
379591
< 0.1%
378691
< 0.1%
377792
< 0.1%

form_field32
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct2620
Distinct (%)5.2%
Missing5450
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean938.3453215
Minimum0
Maximum21306
Zeros42
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:04:53.405772image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q1194
median598
Q31332
95-th percentile2980
Maximum21306
Range21306
Interquartile range (IQR)1138

Descriptive statistics

Standard deviation1044.597044
Coefficient of variation (CV)1.113233071
Kurtosis12.83808812
Mean938.3453215
Median Absolute Deviation (MAD)478
Skewness2.447196293
Sum47433356
Variance1091182.983
MonotonicityNot monotonic
2022-10-20T15:04:53.709773image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12233
 
0.4%
8219
 
0.4%
26210
 
0.4%
18207
 
0.4%
10206
 
0.4%
22191
 
0.3%
4189
 
0.3%
16187
 
0.3%
20187
 
0.3%
6186
 
0.3%
Other values (2610)48535
86.7%
(Missing)5450
 
9.7%
ValueCountFrequency (%)
042
 
0.1%
2183
0.3%
4189
0.3%
6186
0.3%
8219
0.4%
10206
0.4%
12233
0.4%
14156
0.3%
16187
0.3%
18207
0.4%
ValueCountFrequency (%)
213061
< 0.1%
192001
< 0.1%
142021
< 0.1%
132961
< 0.1%
119461
< 0.1%
114961
< 0.1%
109341
< 0.1%
107581
< 0.1%
105521
< 0.1%
98721
< 0.1%

form_field33
Real number (ℝ≥0)

MISSING

Distinct554
Distinct (%)1.0%
Missing1256
Missing (%)2.2%
Infinite0
Infinite (%)0.0%
Mean13.92658344
Minimum0.1666
Maximum152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:04:54.039862image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0.1666
5-th percentile0.3334
Q12.3334
median7.8334
Q321.1666
95-th percentile45.3334
Maximum152
Range151.8334
Interquartile range (IQR)18.8332

Descriptive statistics

Standard deviation15.20839578
Coefficient of variation (CV)1.092040689
Kurtosis2.681943214
Mean13.92658344
Median Absolute Deviation (MAD)6.6668
Skewness1.565371193
Sum762396.884
Variance231.2953023
MonotonicityNot monotonic
2022-10-20T15:04:54.305862image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.16662338
 
4.2%
0.66661141
 
2.0%
0.33341088
 
1.9%
0.51073
 
1.9%
0.8334993
 
1.8%
1.1666949
 
1.7%
1.3334883
 
1.6%
1864
 
1.5%
1.5850
 
1.5%
1.6666822
 
1.5%
Other values (544)43743
78.1%
(Missing)1256
 
2.2%
ValueCountFrequency (%)
0.16662338
4.2%
0.33341088
1.9%
0.51073
1.9%
0.66661141
2.0%
0.8334993
1.8%
1864
 
1.5%
1.1666949
1.7%
1.3334883
 
1.6%
1.5850
 
1.5%
1.6666822
 
1.5%
ValueCountFrequency (%)
1521
< 0.1%
1461
< 0.1%
120.83341
< 0.1%
119.83341
< 0.1%
118.33341
< 0.1%
118.16661
< 0.1%
111.51
< 0.1%
1101
< 0.1%
107.33341
< 0.1%
105.83341
< 0.1%

form_field34
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct18
Distinct (%)< 0.1%
Missing355
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean0.2302453051
Minimum0
Maximum21
Zeros46890
Zeros (%)83.7%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:04:54.585867image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6830629264
Coefficient of variation (CV)2.966674722
Kurtosis78.01899975
Mean0.2302453051
Median Absolute Deviation (MAD)0
Skewness6.205107511
Sum12812
Variance0.4665749614
MonotonicityNot monotonic
2022-10-20T15:04:54.788864image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
046890
83.7%
16377
 
11.4%
21510
 
2.7%
3532
 
0.9%
4170
 
0.3%
567
 
0.1%
632
 
0.1%
727
 
< 0.1%
812
 
< 0.1%
910
 
< 0.1%
Other values (8)18
 
< 0.1%
(Missing)355
 
0.6%
ValueCountFrequency (%)
046890
83.7%
16377
 
11.4%
21510
 
2.7%
3532
 
0.9%
4170
 
0.3%
567
 
0.1%
632
 
0.1%
727
 
< 0.1%
812
 
< 0.1%
910
 
< 0.1%
ValueCountFrequency (%)
211
 
< 0.1%
171
 
< 0.1%
153
 
< 0.1%
142
 
< 0.1%
134
 
< 0.1%
121
 
< 0.1%
112
 
< 0.1%
104
 
< 0.1%
910
< 0.1%
812
< 0.1%

form_field35
Real number (ℝ≥0)

MISSING
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing23148
Missing (%)41.3%
Infinite0
Infinite (%)0.0%
Mean0.199866066
Minimum0
Maximum10
Zeros28090
Zeros (%)50.2%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:04:55.106869image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5740016794
Coefficient of variation (CV)2.871931643
Kurtosis25.35788461
Mean0.199866066
Median Absolute Deviation (MAD)0
Skewness4.167426424
Sum6566
Variance0.3294779279
MonotonicityNot monotonic
2022-10-20T15:04:55.355964image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
028090
50.2%
13580
 
6.4%
2786
 
1.4%
3251
 
0.4%
495
 
0.2%
530
 
0.1%
615
 
< 0.1%
72
 
< 0.1%
81
 
< 0.1%
91
 
< 0.1%
(Missing)23148
41.3%
ValueCountFrequency (%)
028090
50.2%
13580
 
6.4%
2786
 
1.4%
3251
 
0.4%
495
 
0.2%
530
 
0.1%
615
 
< 0.1%
72
 
< 0.1%
81
 
< 0.1%
91
 
< 0.1%
ValueCountFrequency (%)
101
 
< 0.1%
91
 
< 0.1%
81
 
< 0.1%
72
 
< 0.1%
615
 
< 0.1%
530
 
0.1%
495
 
0.2%
3251
 
0.4%
2786
 
1.4%
13580
6.4%

form_field36
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct66
Distinct (%)0.1%
Missing1995
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean12.8590686
Minimum2
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:04:55.624959image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q16
median10
Q316
95-th percentile32
Maximum200
Range198
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.62198372
Coefficient of variation (CV)0.8260305665
Kurtosis14.68939079
Mean12.8590686
Median Absolute Deviation (MAD)4
Skewness2.634626351
Sum694454
Variance112.8265382
MonotonicityNot monotonic
2022-10-20T15:04:55.965965image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86563
11.7%
66476
11.6%
46253
11.2%
105574
10.0%
124710
8.4%
24592
8.2%
143847
6.9%
163092
 
5.5%
182490
 
4.4%
201988
 
3.5%
Other values (56)8420
15.0%
(Missing)1995
 
3.6%
ValueCountFrequency (%)
24592
8.2%
46253
11.2%
66476
11.6%
86563
11.7%
105574
10.0%
124710
8.4%
143847
6.9%
163092
5.5%
182490
 
4.4%
201988
 
3.5%
ValueCountFrequency (%)
2001
< 0.1%
1941
< 0.1%
1561
< 0.1%
1381
< 0.1%
1362
< 0.1%
1341
< 0.1%
1261
< 0.1%
1242
< 0.1%
1221
< 0.1%
1181
< 0.1%

form_field37
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct52
Distinct (%)0.1%
Missing5450
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean8.480435213
Minimum0
Maximum106
Zeros11410
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:04:56.344701image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q312
95-th percentile26
Maximum106
Range106
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.328809675
Coefficient of variation (CV)1.100039024
Kurtosis6.692711421
Mean8.480435213
Median Absolute Deviation (MAD)6
Skewness1.949270982
Sum428686
Variance87.02668995
MonotonicityNot monotonic
2022-10-20T15:04:56.688699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
011410
20.4%
26899
12.3%
45103
9.1%
64447
 
7.9%
83960
 
7.1%
103499
 
6.2%
122960
 
5.3%
142539
 
4.5%
162026
 
3.6%
181619
 
2.9%
Other values (42)6088
10.9%
(Missing)5450
9.7%
ValueCountFrequency (%)
011410
20.4%
26899
12.3%
45103
9.1%
64447
 
7.9%
83960
 
7.1%
103499
 
6.2%
122960
 
5.3%
142539
 
4.5%
162026
 
3.6%
181619
 
2.9%
ValueCountFrequency (%)
1061
 
< 0.1%
1042
< 0.1%
1021
 
< 0.1%
1001
 
< 0.1%
961
 
< 0.1%
921
 
< 0.1%
903
< 0.1%
881
 
< 0.1%
863
< 0.1%
844
< 0.1%

form_field38
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct58
Distinct (%)0.1%
Missing355
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean8.601419714
Minimum0
Maximum156
Zeros4864
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:04:57.092702image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median6
Q312
95-th percentile24
Maximum156
Range156
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.969215182
Coefficient of variation (CV)0.9264999787
Kurtosis18.449534
Mean8.601419714
Median Absolute Deviation (MAD)4
Skewness2.722392146
Sum478626
Variance63.50839062
MonotonicityNot monotonic
2022-10-20T15:04:58.610352image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48448
15.1%
27976
14.2%
67628
13.6%
86509
11.6%
104956
8.8%
04864
8.7%
123769
6.7%
142862
 
5.1%
162120
 
3.8%
181600
 
2.9%
Other values (48)4913
8.8%
ValueCountFrequency (%)
04864
8.7%
27976
14.2%
48448
15.1%
67628
13.6%
86509
11.6%
104956
8.8%
123769
6.7%
142862
 
5.1%
162120
 
3.8%
181600
 
2.9%
ValueCountFrequency (%)
1561
< 0.1%
1501
< 0.1%
1421
< 0.1%
1321
< 0.1%
1181
< 0.1%
1102
< 0.1%
1062
< 0.1%
1041
< 0.1%
1021
< 0.1%
1001
< 0.1%

form_field39
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct15
Distinct (%)< 0.1%
Missing4211
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean0.09084940818
Minimum0
Maximum21
Zeros48194
Zeros (%)86.1%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:04:59.207430image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum21
Range21
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4238021692
Coefficient of variation (CV)4.664886406
Kurtosis299.8850297
Mean0.09084940818
Median Absolute Deviation (MAD)0
Skewness11.81497314
Sum4705
Variance0.1796082786
MonotonicityNot monotonic
2022-10-20T15:04:59.401431image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
048194
86.1%
12941
 
5.3%
2472
 
0.8%
391
 
0.2%
434
 
0.1%
520
 
< 0.1%
615
 
< 0.1%
77
 
< 0.1%
83
 
< 0.1%
93
 
< 0.1%
Other values (5)9
 
< 0.1%
(Missing)4211
 
7.5%
ValueCountFrequency (%)
048194
86.1%
12941
 
5.3%
2472
 
0.8%
391
 
0.2%
434
 
0.1%
520
 
< 0.1%
615
 
< 0.1%
77
 
< 0.1%
83
 
< 0.1%
93
 
< 0.1%
ValueCountFrequency (%)
211
 
< 0.1%
152
 
< 0.1%
133
 
< 0.1%
111
 
< 0.1%
102
 
< 0.1%
93
 
< 0.1%
83
 
< 0.1%
77
 
< 0.1%
615
< 0.1%
520
< 0.1%

form_field40
Real number (ℝ≥0)

MISSING

Distinct9848
Distinct (%)80.3%
Missing43729
Missing (%)78.1%
Infinite0
Infinite (%)0.0%
Mean147.7979769
Minimum0.021
Maximum645.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:04:59.839124image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0.021
5-th percentile58.99125
Q1136.19175
median150
Q3167.754
95-th percentile208.20675
Maximum645.45
Range645.429
Interquartile range (IQR)31.56225

Descriptive statistics

Standard deviation45.08588911
Coefficient of variation (CV)0.3050507866
Kurtosis5.995923036
Mean147.7979769
Median Absolute Deviation (MAD)16.4475
Skewness0.1503336322
Sum1813628.975
Variance2032.737397
MonotonicityNot monotonic
2022-10-20T15:05:00.134780image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1501610
 
2.9%
7510
 
< 0.1%
155.35054
 
< 0.1%
153.89854
 
< 0.1%
149.1963
 
< 0.1%
153.02553
 
< 0.1%
188.3733
 
< 0.1%
149.8383
 
< 0.1%
165.4473
 
< 0.1%
153.51453
 
< 0.1%
Other values (9838)10625
 
19.0%
(Missing)43729
78.1%
ValueCountFrequency (%)
0.0211
< 0.1%
0.0451
< 0.1%
0.2282
< 0.1%
0.24151
< 0.1%
0.34951
< 0.1%
0.49651
< 0.1%
0.50251
< 0.1%
0.68551
< 0.1%
0.721
< 0.1%
0.7981
< 0.1%
ValueCountFrequency (%)
645.451
< 0.1%
502.75651
< 0.1%
501.481
< 0.1%
500.75851
< 0.1%
492.82051
< 0.1%
491.3191
< 0.1%
488.3761
< 0.1%
466.25251
< 0.1%
456.86251
< 0.1%
439.31851
< 0.1%

form_field41
Real number (ℝ≥0)

MISSING

Distinct14375
Distinct (%)80.9%
Missing38229
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean108.1173635
Minimum0
Maximum255
Zeros41
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:05:00.502778image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31.02525
Q187.0555
median118.4415
Q3137.49675
95-th percentile149.53725
Maximum255
Range255
Interquartile range (IQR)50.44125

Descriptive statistics

Standard deviation36.76576919
Coefficient of variation (CV)0.3400542523
Kurtosis0.1931893557
Mean108.1173635
Median Absolute Deviation (MAD)22.5735
Skewness-0.9725248996
Sum1921353.666
Variance1351.721784
MonotonicityNot monotonic
2022-10-20T15:05:00.818784image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150488
 
0.9%
041
 
0.1%
7525
 
< 0.1%
124.999521
 
< 0.1%
100.000519
 
< 0.1%
49.999517
 
< 0.1%
112.516
 
< 0.1%
137.500516
 
< 0.1%
129.166514
 
< 0.1%
141.66613
 
< 0.1%
Other values (14365)17101
30.5%
(Missing)38229
68.3%
ValueCountFrequency (%)
041
0.1%
0.0061
 
< 0.1%
0.0181
 
< 0.1%
0.0331
 
< 0.1%
0.04351
 
< 0.1%
0.05851
 
< 0.1%
0.06151
 
< 0.1%
0.0752
 
< 0.1%
0.0991
 
< 0.1%
0.14551
 
< 0.1%
ValueCountFrequency (%)
2551
< 0.1%
215.0281
< 0.1%
199.42951
< 0.1%
194.6251
< 0.1%
193.11451
< 0.1%
181.91251
< 0.1%
180.6721
< 0.1%
179.74651
< 0.1%
179.14651
< 0.1%
177.3781
< 0.1%

form_field42
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct986
Distinct (%)1.8%
Missing1323
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean0.3682154648
Minimum0
Maximum2.2
Zeros16961
Zeros (%)30.3%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:05:01.166780image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.22
Q30.628573
95-th percentile1.1
Maximum2.2
Range2.2
Interquartile range (IQR)0.628573

Descriptive statistics

Standard deviation0.4128583767
Coefficient of variation (CV)1.121241274
Kurtosis1.168653331
Mean0.3682154648
Median Absolute Deviation (MAD)0.22
Skewness1.183634849
Sum20132.91697
Variance0.1704520392
MonotonicityNot monotonic
2022-10-20T15:05:01.541778image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
016961
30.3%
1.12459
 
4.4%
0.551540
 
2.8%
0.3666631081
 
1.9%
0.275908
 
1.6%
0.733337831
 
1.5%
0.22647
 
1.2%
0.183337622
 
1.1%
0.825588
 
1.1%
0.44555
 
1.0%
Other values (976)28485
50.9%
(Missing)1323
 
2.4%
ValueCountFrequency (%)
016961
30.3%
0.011111
 
< 0.1%
0.0139261
 
< 0.1%
0.0144762
 
< 0.1%
0.015071
 
< 0.1%
0.0157191
 
< 0.1%
0.0161811
 
< 0.1%
0.0166651
 
< 0.1%
0.0169183
 
< 0.1%
0.0171931
 
< 0.1%
ValueCountFrequency (%)
2.2262
0.5%
1.65250
0.4%
1.466663242
0.4%
1.375225
0.4%
1.32196
0.4%
1.283337172
0.3%
1.257146154
0.3%
1.2375126
0.2%
1.222221120
0.2%
1.2185
 
0.2%

form_field43
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct59
Distinct (%)0.1%
Missing568
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean6.634511293
Minimum0
Maximum91.91
Zeros6942
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:05:01.904778image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.02
median5.05
Q310.1
95-th percentile19.19
Maximum91.91
Range91.91
Interquartile range (IQR)8.08

Descriptive statistics

Standard deviation6.378946473
Coefficient of variation (CV)0.9614794807
Kurtosis4.582548276
Mean6.634511293
Median Absolute Deviation (MAD)4.04
Skewness1.638079834
Sum367764.23
Variance40.6909581
MonotonicityNot monotonic
2022-10-20T15:05:02.316053image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
06942
12.4%
1.015790
10.3%
2.024853
 
8.7%
3.034413
 
7.9%
4.044046
 
7.2%
5.053677
 
6.6%
6.063368
 
6.0%
7.073097
 
5.5%
8.082740
 
4.9%
9.092395
 
4.3%
Other values (49)14111
25.2%
ValueCountFrequency (%)
06942
12.4%
1.015790
10.3%
2.024853
8.7%
3.034413
7.9%
4.044046
7.2%
5.053677
6.6%
6.063368
6.0%
7.073097
5.5%
8.082740
 
4.9%
9.092395
 
4.3%
ValueCountFrequency (%)
91.911
 
< 0.1%
78.781
 
< 0.1%
61.611
 
< 0.1%
58.581
 
< 0.1%
57.571
 
< 0.1%
53.533
< 0.1%
52.521
 
< 0.1%
51.515
< 0.1%
50.53
< 0.1%
49.493
< 0.1%

form_field44
Real number (ℝ≥0)

MISSING

Distinct33238
Distinct (%)65.7%
Missing5383
Missing (%)9.6%
Infinite0
Infinite (%)0.0%
Mean0.5633767961
Minimum0.048528
Maximum0.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:05:02.854486image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0.048528
5-th percentile0.2092384
Q10.411672
median0.588648
Q30.75384
95-th percentile0.8
Maximum0.8
Range0.751472
Interquartile range (IQR)0.342168

Descriptive statistics

Standard deviation0.196972872
Coefficient of variation (CV)0.3496290109
Kurtosis-0.9304348794
Mean0.5633767961
Median Absolute Deviation (MAD)0.170624
Skewness-0.4386335313
Sum28516.44329
Variance0.03879831231
MonotonicityNot monotonic
2022-10-20T15:05:03.137487image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.86572
 
11.7%
0.50526417
 
< 0.1%
0.414
 
< 0.1%
0.7998647
 
< 0.1%
0.7861847
 
< 0.1%
0.7679446
 
< 0.1%
0.5535126
 
< 0.1%
0.7992246
 
< 0.1%
0.3357126
 
< 0.1%
0.7921846
 
< 0.1%
Other values (33228)43970
78.5%
(Missing)5383
 
9.6%
ValueCountFrequency (%)
0.0485281
< 0.1%
0.0583921
< 0.1%
0.0597441
< 0.1%
0.0599121
< 0.1%
0.0608961
< 0.1%
0.0611761
< 0.1%
0.0640241
< 0.1%
0.0642321
< 0.1%
0.0644241
< 0.1%
0.065881
< 0.1%
ValueCountFrequency (%)
0.86572
11.7%
0.7999921
 
< 0.1%
0.7999843
 
< 0.1%
0.7999764
 
< 0.1%
0.7999683
 
< 0.1%
0.799964
 
< 0.1%
0.7999522
 
< 0.1%
0.7999366
 
< 0.1%
0.7999284
 
< 0.1%
0.799924
 
< 0.1%

form_field45
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing31317
Missing (%)55.9%
Infinite0
Infinite (%)0.0%
Mean0.07251954787
Minimum0
Maximum5
Zeros23075
Zeros (%)41.2%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:05:03.333487image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2911457051
Coefficient of variation (CV)4.014720358
Kurtosis29.61217379
Mean0.07251954787
Median Absolute Deviation (MAD)0
Skewness4.737307171
Sum1790
Variance0.08476582162
MonotonicityNot monotonic
2022-10-20T15:05:03.532489image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
023075
41.2%
11452
 
2.6%
2136
 
0.2%
316
 
< 0.1%
42
 
< 0.1%
52
 
< 0.1%
(Missing)31317
55.9%
ValueCountFrequency (%)
023075
41.2%
11452
 
2.6%
2136
 
0.2%
316
 
< 0.1%
42
 
< 0.1%
52
 
< 0.1%
ValueCountFrequency (%)
52
 
< 0.1%
42
 
< 0.1%
316
 
< 0.1%
2136
 
0.2%
11452
 
2.6%
023075
41.2%

form_field46
Real number (ℝ≥0)

MISSING
ZEROS

Distinct6
Distinct (%)< 0.1%
Missing15904
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean0.09537110934
Minimum0
Maximum5
Zeros36730
Zeros (%)65.6%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:05:03.888391image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3352098649
Coefficient of variation (CV)3.51479465
Kurtosis19.79521421
Mean0.09537110934
Median Absolute Deviation (MAD)0
Skewness4.031525257
Sum3824
Variance0.1123656535
MonotonicityNot monotonic
2022-10-20T15:05:04.100936image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
036730
65.6%
12964
 
5.3%
2354
 
0.6%
341
 
0.1%
46
 
< 0.1%
51
 
< 0.1%
(Missing)15904
28.4%
ValueCountFrequency (%)
036730
65.6%
12964
 
5.3%
2354
 
0.6%
341
 
0.1%
46
 
< 0.1%
51
 
< 0.1%
ValueCountFrequency (%)
51
 
< 0.1%
46
 
< 0.1%
341
 
0.1%
2354
 
0.6%
12964
 
5.3%
036730
65.6%

form_field47
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size437.6 KiB
charge
36373 
lending
19627 

Length

Max length7
Median length6
Mean length6.350482143
Min length6

Characters and Unicode

Total characters355627
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowcharge
2nd rowcharge
3rd rowcharge
4th rowcharge
5th rowcharge

Common Values

ValueCountFrequency (%)
charge36373
65.0%
lending19627
35.0%

Length

2022-10-20T15:05:04.335941image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-10-20T15:05:06.535322image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
charge36373
65.0%
lending19627
35.0%

Most occurring characters

ValueCountFrequency (%)
g56000
15.7%
e56000
15.7%
n39254
11.0%
c36373
10.2%
h36373
10.2%
a36373
10.2%
r36373
10.2%
l19627
 
5.5%
d19627
 
5.5%
i19627
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter355627
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
g56000
15.7%
e56000
15.7%
n39254
11.0%
c36373
10.2%
h36373
10.2%
a36373
10.2%
r36373
10.2%
l19627
 
5.5%
d19627
 
5.5%
i19627
 
5.5%

Most occurring scripts

ValueCountFrequency (%)
Latin355627
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
g56000
15.7%
e56000
15.7%
n39254
11.0%
c36373
10.2%
h36373
10.2%
a36373
10.2%
r36373
10.2%
l19627
 
5.5%
d19627
 
5.5%
i19627
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII355627
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
g56000
15.7%
e56000
15.7%
n39254
11.0%
c36373
10.2%
h36373
10.2%
a36373
10.2%
r36373
10.2%
l19627
 
5.5%
d19627
 
5.5%
i19627
 
5.5%

form_field48
Real number (ℝ≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct32115
Distinct (%)91.5%
Missing20889
Missing (%)37.3%
Infinite0
Infinite (%)0.0%
Mean305244.9328
Minimum0
Maximum53210144
Zeros1416
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:05:07.285711image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.650737615
Q177.10079136
median318.124292
Q31153.021914
95-th percentile1490453.5
Maximum53210144
Range53210144
Interquartile range (IQR)1075.921122

Descriptive statistics

Standard deviation1647757.414
Coefficient of variation (CV)5.398148297
Kurtosis167.5651511
Mean305244.9328
Median Absolute Deviation (MAD)292.4316715
Skewness10.55260188
Sum1.071745483 × 1010
Variance2.715104496 × 1012
MonotonicityNot monotonic
2022-10-20T15:05:07.589705image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01416
 
2.5%
7.67422020815
 
< 0.1%
7.70168655411
 
< 0.1%
7.70062573510
 
< 0.1%
7.7014220789
 
< 0.1%
7.6969852659
 
< 0.1%
31129
 
< 0.1%
7.7030333419
 
< 0.1%
7.7008955638
 
< 0.1%
7.701163588
 
< 0.1%
Other values (32105)33607
60.0%
(Missing)20889
37.3%
ValueCountFrequency (%)
01416
2.5%
0.096434286481
 
< 0.1%
0.13202156471
 
< 0.1%
0.15599909771
 
< 0.1%
0.47460728991
 
< 0.1%
0.6012364761
 
< 0.1%
0.81073441541
 
< 0.1%
0.83819271431
 
< 0.1%
0.86793966961
 
< 0.1%
1.3173316981
 
< 0.1%
ValueCountFrequency (%)
532101441
< 0.1%
502790281
< 0.1%
387502351
< 0.1%
382877141
< 0.1%
354293421
< 0.1%
353488191
< 0.1%
346879081
< 0.1%
334283261
< 0.1%
323064501
< 0.1%
315443991
< 0.1%

form_field49
Real number (ℝ≥0)

ZEROS

Distinct13206
Distinct (%)23.7%
Missing355
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1.049060751
Minimum0
Maximum28
Zeros29853
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size437.6 KiB
2022-10-20T15:05:07.936336image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.181753723
95-th percentile5
Maximum28
Range28
Interquartile range (IQR)1.181753723

Descriptive statistics

Standard deviation1.806160446
Coefficient of variation (CV)1.721692898
Kurtosis9.891706202
Mean1.049060751
Median Absolute Deviation (MAD)0
Skewness2.623440073
Sum58374.98552
Variance3.262215555
MonotonicityNot monotonic
2022-10-20T15:05:08.214893image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
029853
53.3%
14241
 
7.6%
21985
 
3.5%
31180
 
2.1%
4667
 
1.2%
5395
 
0.7%
6249
 
0.4%
7173
 
0.3%
899
 
0.2%
979
 
0.1%
Other values (13196)16724
29.9%
(Missing)355
 
0.6%
ValueCountFrequency (%)
029853
53.3%
0.042202283991
 
< 0.1%
0.048811917921
 
< 0.1%
0.049670189941
 
< 0.1%
0.052357665691
 
< 0.1%
0.052535908291
 
< 0.1%
0.05513104651
 
< 0.1%
0.056769153911
 
< 0.1%
0.058556237411
 
< 0.1%
0.05902003141
 
< 0.1%
ValueCountFrequency (%)
281
 
< 0.1%
251
 
< 0.1%
221
 
< 0.1%
212
< 0.1%
201
 
< 0.1%
181
 
< 0.1%
17.92452831
 
< 0.1%
17.680339461
 
< 0.1%
17.048222111
 
< 0.1%
173
< 0.1%

Interactions

2022-10-20T15:04:23.462640image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:59:50.494096image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:59:59.834539image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:10.619695image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:20.651785image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:29.672845image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:38.487729image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:45.468915image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:52.247169image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:38.225167image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:45.095542image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:51.392791image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:58.349778image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:05.443945image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:11.873362image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:18.747417image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:25.739284image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:32.724229image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:39.022436image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:46.221053image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:53.101285image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:00.560418image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:08.156131image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:15.393766image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:23.723645image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:59:51.585762image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:00.185539image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:11.084692image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:21.148796image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:30.002876image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:38.737729image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:45.712511image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:52.503164image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:38.508171image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:45.347942image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:51.663785image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:58.636781image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:05.715945image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:12.159370image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:19.004419image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:26.748481image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:33.027224image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:39.309444image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:46.497052image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:53.371274image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:00.837415image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:08.406133image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:15.662771image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:23.996310image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:59:52.074765image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:00.538539image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:11.450547image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:21.555364image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:30.298877image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:39.005725image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:46.058499image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:52.771163image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:38.809178image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:45.625943image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:51.936355image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:58.943781image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:05.994568image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:12.447367image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:19.291411image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:26.996479image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:33.292229image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:39.591434image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:46.763052image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:53.692274image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:01.102424image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:08.829125image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:15.947314image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:24.313305image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:59:52.404763image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:00.807540image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:12.193346image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:22.524353image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:30.753881image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:39.249731image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:46.339497image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:53.025164image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:39.081166image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:45.879500image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:52.188360image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:59.290777image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:06.250563image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:12.724366image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:19.531418image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:27.263481image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:33.576230image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:39.885437image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:47.115766image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:53.957981image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:01.447417image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:09.063130image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:16.212314image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:24.593303image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:59:52.757763image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:01.249634image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:12.470346image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
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2022-10-20T15:03:59.351867image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:07.125587image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:13.805028image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:22.210670image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:29.306924image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:59:58.878975image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:09.504537image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:19.348792image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:28.834190image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:37.670812image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:44.678365image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:51.480510image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:37.416104image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:44.277544image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:50.604795image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:56.914215image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:04.615304image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:11.092731image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:17.946418image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:24.982733image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:31.958230image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:38.253441image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:45.357346image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:52.327275image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:59.627861image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:07.435589image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:14.054680image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:22.603641image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:29.553923image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:59:59.139977image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:09.859541image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:19.772786image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:29.099195image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:37.942730image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:44.935364image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:51.737164image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:37.682099image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:44.538545image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:50.858786image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:57.781209image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:04.880308image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:11.343731image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:18.214417image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:25.237289image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:32.224224image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:38.496436image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:45.613342image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:52.568283image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:59.897862image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:07.663582image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:14.544958image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:22.894644image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:29.795925image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T14:59:59.443540image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:10.321692image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:20.149795image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:29.382195image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:38.223729image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:45.218920image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:00:51.986159image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:37.948207image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:44.823542image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:51.148790image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:02:58.078777image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:05.172943image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:11.611735image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:18.493415image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:25.497282image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:32.480230image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:38.748436image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:45.911346image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:03:52.853281image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:00.242414image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:07.905587image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:15.156771image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-10-20T15:04:23.213640image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Correlations

2022-10-20T15:05:13.297254image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-10-20T15:05:14.074216image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-10-20T15:05:14.705211image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-10-20T15:05:15.416762image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-10-20T15:04:32.335947image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-10-20T15:04:35.795034image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-10-20T15:04:39.051873image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-10-20T15:04:41.383674image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

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Last rows

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559903334.513596.09064.060772.019344.06936.014964.02046.03.33340.00.024.024.016.00.0110.3340NaN0.00000017.170.3845200.00.0charge1133.4363922.000000
55991NaNNaNNaN60.06936.0NaNNaNNaN4.33340.0NaN10.0NaN6.0NaNNaNNaN1.2571460.00NaNNaNNaNchargeNaN0.000000
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559952815.57299.04866.060772.015969.01034.0NaN864.021.66660.00.04.08.08.00.0NaNNaN0.0000009.090.730040NaN0.0lending591.0489130.000000
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559971059.03924.02616.02980.012135.0NaNNaN232.022.33340.00.06.00.04.00.0NaNNaN0.5500003.030.4505120.00.0lending1252.4744672.000000
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Duplicate rows

Most frequently occurring

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